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Wei-Hwa Chang and Weijing Wang[Fulltext]
Disclosure risk and replication-based variance estimaiton
Wilson W. Lu and Randy R. Sitter [Fulltext]
Ratewise efficient estimation of regression coefficients based on Lp procedures
P.Y. Lai and Stephen M.S. Lee[Fulltext]
A general minimum lower-order confounding criterion for two-level regular designs
Runchu Zhang, Peng Li, Shengli Zhaoand Mingyao Ai [Fulltext]
Marginal likelihood for distance matrices
Peter McCullagh[Fulltext]
Investigating nonparametric priors with Gibbs structure
Antonio Lijoi, Igor Pruenster and Stephen Walker [Fulltext]
Model-robustly D- and A-optimal designs for mixture experiments
Mong-Na Lo Huang, Hsiang-Ling Hsu, Chao-Jin Chou and Thomas Klein[Fulltext]
Semiparametric estimation for a class of time-inhomogeneous diffusion processes
Yan Yu, Keming Yu, Hua Wang, and Min Li[Fulltext]
An extension of Peskun ordering to continuous time Markov chains
Fabrizio Leisen and Antonietta Mira [Fulltext]
Uniform estimation of a signal based on inhomogeneous data
St Áphane Gaiffas [Fulltext]
Adaptive lasso for sparse high-dimensional regression models
X. Joan Hu, Stephen W. Lagakos, and Richard A. Lockhart
Run Length properties of the CUSUM and EWMA schemes for a stationary linear process
Dong Han and Fugee Tsung [Fulltext]
Generalized least squarew estimation of the mean function of a conuting process based on panel counts
X. Joan Hu, Stephen W. Lagakos, and Richard A. Lockhart
Existence of the MLE and propriety of posteriors for a general multinomial choice model
Paul L. Speckman, Jaeyong Lee and Dongchu Sun[Fulltext]
A geometric approach to confidence sets for ratios: Fieller's theorem, generalizations, and bootstrap
Ulrike von Luxburg and Volker H. Franz[Fulltext]
On generalized fiducial inference
Jan Hannig[Fulltext]
Multiple testing of two-sided alternatives with dependent data
Arthur Cohen and Harold B. Sackrowitz [Fulltext]
Robust time series analysis via measurement error modeling
Qiong Wang, Leonard A. Stefanski, Marc G. Genton, Dennis D. Boos[Fulltext]
Selecting the number of change-points in segmented line regression
Hyune-Ju Kim, Binbing Yu and Eric J. Feuer[Fulltext]
Estimation in a semiparametric Marshall-Olkin model
Dorota M. Dabrowska[Fulltext]
Spatio-spectral analysis of brain signals
Hernando Ombao, Xiaofeng Shao, Elena Rykhlevskaia, Monica Fabiani and Gabriele Gratton
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Financial derivative valuation---A dynamic semiparametric approach
Shih-Feng Huang and Meihui Guo[Fulltext]
Testing for familial aggregation when the population size is known
Yixin Fang and Daniel Rabinowitz
Using profile likelihood for semiparametric model selection with application to proportional hazards mixed models
Ronghui Xu, Florin Vaida and David P. Harrington
Optimal bounds for inverse problems with Jacobi-Type eigenfunctions
Thomas Willer[Fulltext]
Statistical modelling of brain morphological measures within family pedigrees
Hongtu Zhu, Yimei Li, Niansheng Tang, Ravi Bansal, Xuejun Hao, Myrna M. Weissman and Bradley G. Peterson
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Dimension-reduction for conditional variance in regressions
Li-Ping Zhu and Li-Xing Zhu [fulltext]
Nonparametric Bayes Kernel-based priors for functional data analysis
Richard F. MacLehose and David B. Dunson [Fulltext]
A dynamic quantile regression transformation model for longitudinal data
Yunming Mu and Ying Wei[Fulltext]
Relaxing latent ignorability in the ITT analysis of randomized studies with missing data and noncompliance
Leslie Taylor and Xiao-Hua Zhou[Fulltext]
An overview of modeling techniques for hybrid brain data
Apratim Guha and Atanu Biswas [Fulltext]
Mixture Modeling for Dynamic PET Data
Huiping Jiang and R. Todd Ogden [Fulltext]
A Bernstein-von Mises theorem for doubly censored data
Yongdai Kim[Fulltext]
Residual analysis for detecting mis-modeling in fMRI
J. M. Loh, M. A. Lindquist and T. D. Wager [Fulltext]
Dealing with spatial normalization errors in fMRI group inference using hierarchical modeling
Merlin Keller, Alexis Roche, Alan Tucholka and Bertrand Thirion [Fulltext]
The acquisition and statistical analysis of rapid 3D fMRI data
Martin A. Lindquist, Cun-Hui Zhang, Gary Glover and Lawrence Shepp [Fulltext]
Encoding Cortical Surface by Spherical Harmonics
Moo K. Chung, Kim Dalton and Richard J. Davidson [Fulltext]
Nonparametric bootstrap for mixed-effects models for repeated spatial proximity measures (K-functions) with applications in neuropathology
Sabine Landau and Ian Everall[Fulltext]
Continuous-time filters for state estimation from point process models of neural data
Uri T. Eden and Emery N. Brown[Fulltext]
Uncovering sparse brain effective connectivity: A voxel-based approach using penalized regression
Jos Á M. S Ànchez-Bornot, Eduardo Mart Ânez-Montes, Agust Ân Lage-Castellanos, Mayrim Vega-Hern Àndez and Pedro A. Vald Ás-Soda
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A supervised singular value decomposition for independent component analysis of fMRI
Ping Bai, Haipeng Shen, Xuemei Huang and Young Truong [Fulltext]
Inferring individual differences in fMRI: Finding brain regions with significant within subject correlation
Sumitra Purkayastha, Tor D. Wager and Thomas E. Nichols [Fulltext]
A bootstrap test to investigate changes in brain connectivity for functional MRI
Pierre Bellec, Guillaume Marrelec and Habib Benali[Fulltext]
Penalized PARAFAC analysis of spontaneous EEG recordings
Eduardo Mart Ânez-Montes, Jos Á M. S Ànchez-Bornot and Pedro A. Vald Ás-Sosa[Fulltext]
Penalized least squares methods for solving the EEG inverse problem
Mayrim Vega-Hern Àndez, Eduardo Mart Ânez-Montes, Jos Á M. S Ànchez-Bornot, Agust Ân Lage-Castellanos and Pedro A. Vald Ás-Sosa
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Spling estimation of signal-index models
Li Wang and Lijian Yang[Fulltext]
A sensitivity analysis for Bayesian nonparametric density estimators
Luis E. Nieto-Barajas and Igor Pr Ênster[Fulltext]
Adapting to Unknown Smoothness by Aggregation of Thresholded Wavelet Estimators
Chesneau Christophe and Guillaume Lecue[Fulltext]
Hybrid permutation test with application to surface shape analysis
Chunxiao Zhou and Yongmei Michelle Wang[Fulltext]
Scope of resampling-based tests in fNIRS neuroimaging data analysis
Singh A. K., Clowney L., Okamoto S., Cole J. B., Dan I.[Fulltext]
Covariance ordering for discrete and continuous time Markov chains
Antonietta Mira and Fabrizio Leisen[Fulltext]
Intrinsic shape analysis: Geodesic PCA for Riemannian manifolds modulo isometric lie group actions
Stephan Huckemann, Thomas Hotz and Axel Munk[Fulltext]
Series representations for multivariate generalized Gamma processes via a scale invariance principle
Hemant Ishwaran and Mahmoud Zarepour
Consistent variable selection in additive models
Lan Xue
Exact maximum likelihood estimation for non-Gaussian moving averages
Nan-Jung Hsu and F. Jay Breidt[Fulltext]
Existence and construction of two-level orthogonal arrays for estimating main effects and some specified two-factor interactions
Boxin Tang and Julie Zhou[Fulltext]
Wavelet estimations for longitudinal data
Trung Tu Nguyen[Fulltext]
Spatial linear mixed models with covariate measurement errors
Yi Li, Haicheng Tang and Xihong Lin[Fulltext]
Variable selection in quantile regression
Yichao Wu and Yufeng Liu[Fulltext]
Semiparametric inferential procedures for comparing multivariate ROC curves with interaction terms
Liansheng Tang and Xiao-Hua Zhou[Fulltext]
Combining regression quantile estimators
Kejia Shan and Yuhong Yang[Fulltext]
Bootstrap-based penalty choice for the Lasso, achieving oracle performance
Peter Hall, Eun Ryung Lee and Byeong U. Park[Fulltext]
Local polynomial modelling for varying-coefficient informative survival models
Wenyang Zhang, Yan Sun, Jin-Ting Zhang and Duolao Wang[Fulltext]
Bayesian nonparametric construction of the Fleming-Viot process with fertility selection
Matteo Ruggiero and Stephen G. Walker[Fulltext]
Inference on quantile regression for heteroscedastic mixed models
Huixia Wang[Fulltext]
Estimators for gaussian models having a block-wise structure
Lawrence D. Brown and Linda H. Zhao
Nonparametric identification and estimation of nonclassical errors-in-variables models without additional information
Xiaohong Chen, Yingyao Hu and Arthur Lewbel
Tolerance intervals for discrete distributions in exponential families
T. Tony Cai and Hsiuying Wang[Fulltext]
D-optimal designs for Poisson regression models
K. G. Russell, D. C. Woods, S. M. Lewis and J. A. Eccleston
Robust model selection in generalized linear models
Samuel Mueller and A.H. Welsh[Fulltext]
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Min-Qian Liu and Zhao-Yang Cai
Optimal experimental designs for inverse quadratic
Holger Dette and Christine Kiss
A Construction method for orthogonal Latin hypercube designs with prime power levels
Fang Pang, Min-Qian Liu and Dennis K. J. Lin
Wavelet-based Bayesian estimation of partially linear regression models with long memory errors
Kyungduk Ko, Leming Qu and Marina Vannucci [Fulltext]
Optimal designs for estimating pairs of coefficients in Fourier regression models
Holger Dette, Viatcheslav B. Melas and Petr Shpilev
On principal components and regression: A statistical explanation of a natural phenomenon
Andreas A. Artemiou and Bing Li